2026 Guiguang Ding: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	63	2721	2640	372	369	204	19259

Overview

Guiguang Ding is affiliated with Tsinghua University in China and has contributed extensively to the field of Computer Science. Their research primarily covers computer vision, artificial intelligence, and related subfields.

The main fields of study in their research include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Radiology, Nuclear Medicine and Imaging
Biomedical Engineering
Computer Networks and Communications

In terms of specific research topics, their work addresses:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Multimodal Machine Learning Applications
Video Surveillance and Tracking Methods
Anomaly Detection Techniques and Applications
Topic Modeling

Guiguang Ding has published in a range of venues with a notable concentration in several key outlets, including:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neurocomputing

Frequent collaborators include Jungong Han, Sicheng Zhao, Zijia Lin, Yuchen Guo, and Liuyu Xiang.

Some of their recent published papers are:

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
YOLOv10: Real-Time End-to-End Object Detection, 2024, arXiv (Cornell University)
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment, 2020, IEEE Transactions on Image Processing
Affective Image Content Analysis: Two Decades Review and New Perspectives, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

RepVGG: Making VGG-style ConvNets Great Again

Xiaohan Ding;Xiangyu Zhang;Ningning Ma;Jungong Han

2227
Citations
Transfer Feature Learning with Joint Distribution Adaptation

Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun

1991
Citations
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

Unknown

1558
Citations
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Xiaohan Ding;Yuchen Guo;Guiguang Ding;Jungong Han

846
Citations
Transfer Joint Matching for Unsupervised Domain Adaptation

Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun

766
Citations
Collective Matrix Factorization Hashing for Multimodal Data

Guiguang Ding;Yuchen Guo;Jile Zhou

684
Citations
Adaptation Regularization: A General Framework for Transfer Learning

Mingsheng Long;Jianmin Wang;Guiguang Ding;Sinno Jialin Pan

666
Citations
Semantics-preserving hashing for cross-view retrieval

Zijia Lin;Guiguang Ding;Mingqing Hu;Jianmin Wang

535
Citations
Latent semantic sparse hashing for cross-modal similarity search

Jile Zhou;Guiguang Ding;Yuchen Guo

470
Citations
Diverse Branch Block: Building a Convolution as an Inception-like Unit

Xiaohan Ding;Xiangyu Zhang;Jungong Han;Guiguang Ding

450
Citations
Transfer Learning with Graph Co-Regularization

Mingsheng Long;Jianmin Wang;Guiguang Ding;Dou Shen

419
Citations
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Hui Chen;Guiguang Ding;Xudong Liu;Zijia Lin

411
Citations
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification

Liuyu Xiang;Guiguang Ding;Jungong Han

272
Citations
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies

Sicheng Zhao;Guoli Jia;Jufeng Yang;Guiguang Ding

256
Citations
Transfer Sparse Coding for Robust Image Representation

Mingsheng Long;Guiguang Ding;Jianmin Wang;Jiaguang Sun

228
Citations
Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing

Guiguang Ding;Yuchen Guo;Jile Zhou;Yue Gao

224
Citations
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Xiaohan Ding;Guiguang Ding;Yuchen Guo;Jungong Han

207
Citations
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji

196
Citations
Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing

Zijia Lin;Guiguang Ding;Jungong Han;Jianmin Wang

185
Citations
Predicting Personalized Image Emotion Perceptions in Social Networks

Sicheng Zhao;Hongxun Yao;Yue Gao;Guiguang Ding

164
Citations
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

Yang Long;Li Liu;Ling Shao;Fumin Shen

163
Citations
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Xiaohan Ding;guiguang ding;Xiangxin Zhou;Yuchen Guo

135
Citations

Frequent Co-Authors

Jungong Han Aberystwyth University

Sicheng Zhao Tsinghua University

Jianmin Wang Tsinghua University

Yue Gao Tsinghua University

Kurt Keutzer University of California, Berkeley

Mingsheng Long Tsinghua University

Ji Liu Facebook (United States)

Qionghai Dai Tsinghua University

Ling Shao Terminus International

Tat-Seng Chua National University of Singapore

External Links

Personal website of Guiguang Ding Google Scholar page

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